Identification of Long-Term Care Facility Residence From Admission Notes Using Large Language Models
In this 13-hospital study of 2087 adult admissions, an LLM accurately identified LTCF residence from H&P notes and was more than 25 times faster and 20 times less expensive than human review.
Authors
- Eili Klein (ORCID: https://orcid.org/0000-0002-1304-5289)
- Pranita D. Tamma (ORCID: https://orcid.org/0000-0002-4143-6324)
- Monica Taneja (ORCID: https://orcid.org/0000-0002-0497-6794)
- Katherine E Goodman (ORCID: https://orcid.org/0000-0003-2851-775X)
- S. Shams (ORCID: https://orcid.org/0009-0000-6085-0902)
- Philip Resnik (ORCID: https://orcid.org/0000-0002-6130-8602)
- Suiyini Fiawoo
- Matthew L. Robinson (ORCID: https://orcid.org/0000-0003-0376-8560)
- Pilar Beccar-Varela (ORCID: https://orcid.org/0009-0003-6034-5959)
- Deborah Morgan (ORCID: https://orcid.org/0000-0003-2418-9592)
- Scott Sorongon (ORCID: https://orcid.org/0000-0003-0082-0589)
- Anthony D. Harris (ORCID: https://orcid.org/0000-0003-2193-1560)
- Jae Hyoung Lee (ORCID: https://orcid.org/0000-0002-6303-086X)
- Mark W. Sutherland (ORCID: https://orcid.org/0000-0001-5665-6998)
- Laurence S. Magder
- Nathan Kwon
- Abigail H. Vorsteg (ORCID: https://orcid.org/0009-0000-7916-6748)
Institutions
- University of Maryland, Baltimore (US)
- University of Maryland Medical System (US)
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Foundation for the National Institutes of Health (US)
- University of Maryland, College Park (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1001/jamanetworkopen.2025.12032
- Citations
- 4
- Primary Topic
- Geriatric Care and Nursing Homes
- Type
- article
- Field-Weighted Citation Impact
- 11.26
Funders
- Agency for Healthcare Research and Quality